What we’re building and why we’re building it. Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.

At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. Meet Fetch AI & Data

AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.

Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use.

Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows.

Fetch is looking for a Staff Data Scientist to serve as the senior analytical and scientific leader for our Play business and broader Rewarded Apps portfolio. Reporting to the Senior Director of User Analytics & Insights, you’ll partner with General Managers and leaders across Product, Marketing, Engineering, and other functions to shape how data, experimentation, and advanced analytics inform the future of Play.

You’ll set the analytical direction for Play, identify the highest-value questions for the business, and lead complex analyses and modeling initiatives that influence product strategy, monetization, engagement, and long-term growth. While this role has no direct reports, you’ll mentor analysts and data scientists, establish best practices, and raise the bar for analytical rigor across the organization.

This is a full-time role that can be held from one of our US offices or remotely in the United States or any Canadian province (excluding Quebec), subject to appropriate work authorization. paid time off, Holidays, etc.).

Set the analytical and scientific strategy for Play,



identifying high-impact opportunities across revenue, margin, engagement, retention, user experience, and advertiser performance.

Serve as a senior thought partner to business, Product, Marketing, and Engineering leaders, proactively defining the questions analytics should answer.

Develop a deep understanding of the Play P&L; and connect user behavior and product performance to revenue, margin, and marketplace outcomes.

Lead advanced analytics and data science initiatives across engagement, retention, monetization, personalization, segmentation, and marketplace dynamics.

Build predictive and machine learning models that identify behavioral patterns, forecast outcomes, prioritize opportunities, and inform product and business strategy.

Shape Play’s experimentation and measurement strategy, applying A/B testing, causal inference, quasi-experimental methods, and observational analysis as appropriate.

Develop scalable analytical assets, feature pipelines, modeling frameworks, and trusted measurement systems using Python and SQL.

Partner with Product and Engineering to operationalize models, scoring frameworks, and analytical outputs that improve the user experience and business performance.

Translate complex findings into clear recommendations for senior and executive audiences, framed around customer outcomes, financial impact, strategic risk, and opportunity cost.

Mentor analysts and data scientists, review high-impact analyses, and establish best practices for modeling, experimentation, documentation, reusable code, and data storytelling.

8+ years of experience in data science, analytics, quantitative strategy, or a related field, including ownership of complex product or business domains.

- Advanced proficiency in Python and SQL, with experience building reusable analytical and modeling workflows.
- Experience developing, evaluating, and operationalizing machine learning and predictive models, including feature engineering and translating model outputs into business decisions.
- Solid foundation in statistics, experimental design, power analysis, metric selection, segmentation, and causal inference.
- Experience applying causal inference techniques such as difference-in-differences, matching, synthetic controls, or related methodologies.




- A track record of using analytics to drive measurable improvements in areas such as revenue, engagement, retention, product performance, or operational efficiency.
- Proven ability to influence senior stakeholders across Product, Engineering, Marketing, and business teams without direct authority.
- Experience mentoring analysts or data scientists and improving the quality of work across a broader team.
- Exceptional communication and data storytelling skills, including the ability to explain sophisticated analytical concepts to non-technical audiences.

Experience in consumer technology, gaming, marketplaces, rewards, loyalty, or another high-frequency digital product.

Experience with modern analytics engineering tools and practices, including dbt, Git/GitHub, Spark, or similar technologies.

Experience working with businesses where user engagement, monetization, incentives, and marketplace economics are closely connected.

Experience combining advanced analytics with both product and commercial strategy.

At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.

- We offer comprehensive medical, dental, and vision plans for everyone, including your pets.
- The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles)
- Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, and a flexible return-to-work schedule.
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US for US-based roles. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law.

📌 Assistant Data-Scientist - Machine Learning H/F (Canada)
🏢 Fetch
📍 Canada